A. Melgar

1.6k total citations
34 papers, 1.1k citations indexed

About

A. Melgar is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, A. Melgar has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Agronomy and Crop Science, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in A. Melgar's work include Ruminant Nutrition and Digestive Physiology (30 papers), Reproductive Physiology in Livestock (19 papers) and Genetic and phenotypic traits in livestock (9 papers). A. Melgar is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (30 papers), Reproductive Physiology in Livestock (19 papers) and Genetic and phenotypic traits in livestock (9 papers). A. Melgar collaborates with scholars based in United States, Bulgaria and United Kingdom. A. Melgar's co-authors include A.N. Hristov, J. Oh, J.K. Ropp, S.E. Räisänen, M.T. Harper, D.E. Wasson, Stéphane Duval, K. Nedelkov, M.E. Fetter and Meagan L. Hennessy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Dairy Science.

In The Last Decade

A. Melgar

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Melgar United States 16 904 215 190 176 131 34 1.1k
F. Hassanat Canada 18 947 1.0× 223 1.0× 219 1.2× 179 1.0× 90 0.7× 37 1.1k
F. Giallongo United States 20 1.1k 1.2× 277 1.3× 233 1.2× 333 1.9× 140 1.1× 25 1.3k
Mohammad Ramin Sweden 17 719 0.8× 154 0.7× 302 1.6× 189 1.1× 89 0.7× 58 1.0k
S.J. Krizsan Sweden 18 927 1.0× 325 1.5× 233 1.2× 251 1.4× 96 0.7× 60 1.2k
Sanne van Gastelen Netherlands 20 960 1.1× 318 1.5× 303 1.6× 307 1.7× 118 0.9× 40 1.2k
L. Holtshausen Canada 9 668 0.7× 176 0.8× 118 0.6× 133 0.8× 91 0.7× 20 786
Anne Louise Frydendahl Hellwing Denmark 21 1.1k 1.2× 296 1.4× 349 1.8× 352 2.0× 141 1.1× 67 1.5k
I.K. Hindrichsen Denmark 17 674 0.7× 126 0.6× 186 1.0× 130 0.7× 84 0.6× 22 873
Milka Popova France 18 662 0.7× 125 0.6× 131 0.7× 85 0.5× 231 1.8× 38 852
Arjan Jonker New Zealand 23 901 1.0× 217 1.0× 255 1.3× 333 1.9× 174 1.3× 92 1.3k

Countries citing papers authored by A. Melgar

Since Specialization
Citations

This map shows the geographic impact of A. Melgar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Melgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Melgar more than expected).

Fields of papers citing papers by A. Melgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Melgar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Melgar. The network helps show where A. Melgar may publish in the future.

Co-authorship network of co-authors of A. Melgar

This figure shows the co-authorship network connecting the top 25 collaborators of A. Melgar. A scholar is included among the top collaborators of A. Melgar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Melgar. A. Melgar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wasson, D.E., H. Stefenoni, S.F. Cueva, et al.. (2023). Screening macroalgae for mitigation of enteric methane in vitro. Scientific Reports. 13(1). 9835–9835. 10 indexed citations
2.
Oh, J., et al.. (2022). Effects of phytonutrients and yeast culture supplementation on lactational performance and nutrient use efficiency in dairy cows. Journal of Dairy Science. 106(3). 1746–1756. 7 indexed citations
3.
Hristov, A.N., A. Melgar, D.E. Wasson, & Claudia Arndt. (2022). Symposium review: Effective nutritional strategies to mitigate enteric methane in dairy cattle. Journal of Dairy Science. 105(10). 8543–8557. 79 indexed citations
5.
Fetter, M.E., S.E. Räisänen, H. Stefenoni, et al.. (2022). Performance of dairy cows fed normal- or reduced-starch diets supplemented with an exogenous enzyme preparation. Journal of Dairy Science. 105(3). 2288–2300. 10 indexed citations
6.
Pitta, Dipti, Nagaraju Indugu, A. Melgar, et al.. (2022). The effect of 3-nitrooxypropanol, a potent methane inhibitor, on ruminal microbial gene expression profiles in dairy cows. Microbiome. 10(1). 146–146. 50 indexed citations
7.
Räisänen, S.E., M.E. Fetter, A. Melgar, et al.. (2021). Histidine dose-response effects on lactational performance and plasma amino acid concentrations in lactating dairy cows: 2. Metabolizable protein-deficient diet. Journal of Dairy Science. 104(9). 9917–9930. 11 indexed citations
8.
Oh, J., M.T. Harper, A. Melgar, et al.. (2021). Dietary supplementation with rumen-protected capsicum during the transition period improves the metabolic status of dairy cows. Journal of Dairy Science. 104(11). 11609–11620. 22 indexed citations
9.
Indugu, Nagaraju, Meagan L. Hennessy, S.E. Räisänen, et al.. (2021). Comparing noninvasive sampling techniques with standard cannula sampling method for ruminal microbial analysis. SHILAP Revista de lepidopterología. 2(6). 329–333. 5 indexed citations
10.
Indugu, Nagaraju, Meagan L. Hennessy, Bonnie Vecchiarelli, et al.. (2021). Using Structural Equation Modeling to Understand Interactions Between Bacterial and Archaeal Populations and Volatile Fatty Acid Proportions in the Rumen. Frontiers in Microbiology. 12. 611951–611951. 13 indexed citations
11.
Räisänen, S.E., J. Oh, A. Melgar, et al.. (2021). Histidine dose-response effects on lactational performance and plasma amino acid concentrations in lactating dairy cows: 1. Metabolizable protein-adequate diet. Journal of Dairy Science. 104(9). 9902–9916. 7 indexed citations
12.
Räisänen, S.E., A. Melgar, D.E. Wasson, et al.. (2021). Lactational performance and plasma and muscle amino acid concentrations in dairy cows fed diets supplying 2 levels of digestible histidine and metabolizable protein. Journal of Dairy Science. 105(1). 170–187. 5 indexed citations
13.
Räisänen, S.E., H. Stefenoni, A. Melgar, et al.. (2021). Lactational performance, enteric gas emissions, and plasma amino acid profile of dairy cows fed diets with soybean or canola meals included on an equal protein basis. Journal of Dairy Science. 104(3). 3052–3066. 8 indexed citations
14.
Melgar, A., K. Nedelkov, S.E. Räisänen, et al.. (2020). Enteric methane emission, milk production, and composition of dairy cows fed 3-nitrooxypropanol. Journal of Dairy Science. 104(1). 357–366. 57 indexed citations
16.
Harper, M.T., J. Oh, A. Melgar, et al.. (2019). Production effects of feeding extruded soybean meal to early-lactation dairy cows. Journal of Dairy Science. 102(10). 8999–9016. 12 indexed citations
18.
Nedelkov, K., M.T. Harper, A. Melgar, et al.. (2018). Acceptance of flavored concentrate premixes by young ruminants following a short-term exposure. Journal of Dairy Science. 102(1). 388–394. 6 indexed citations
19.
Harper, M.T., A. Melgar, J. Oh, et al.. (2018). Inclusion of brown midrib dwarf pearl millet silage in the diet of lactating dairy cows. Journal of Dairy Science. 101(6). 5006–5019. 13 indexed citations
20.
Hristov, A.N., A. Melgar, J.K. Ropp, et al.. (2006). Effect of Barley and Its Amylopectin Content on Ruminal Fermentation and Nitrogen Utilization in Lactating Dairy Cows. Journal of Dairy Science. 89(11). 4321–4335. 43 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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